Lead Artificial Intelligence Researcher, Programming Systems Research, Intel Labs
Chair, Industrial Board for PRECISE Center, University of Pennsylvania
Executive Director of AI Research and Development, PRECISE Center for Safe AI, University of Pennsylvania
Principal Investigator and Co-Founder, Intel/NSF CAPA Research Center
At Intel Labs, I am the lead artificial intelligence researcher for programming systems research and the principal investigator and co-founder of the joint Intel/NSF CAPA research center. In academia, I am executive director of AI research and development for the PRECISE Center for Safe AI at the University of Pennsylvania and as the chair of the PRECISE industrial advisory board.
I perform research in artificial intelligence with a focus on machine programming, anomaly detection, deep learning, and autonomous systems. I try to maintain deep academic and industrial collaborations. I'm wildly interested in machine programming. In 2016, I co-founded the machine learning and programming languages (MAPL) workshop and was its program and general chair in 2017 and 2018, respectively.
I am an adjunct professor at the University of Colorado-Boulder and a lecturer at the University of Pennsylvania on anomaly detection for safe autonomy. I was previously the director of engineering at Machine Zone, where I oversaw the engineering of Game of War and Mobile Strike. When not doing research, I work on my online gaming software company, Nodeka, LLC, which I founded in 1999.
My (somewhat dated) CV is here. I have over 50 peer reviewed publications and issued patents with around 100 patents pending. I've given several dozen invited research presentations at places like Berkeley, BMW, IBM Research, Penn, Stanford, VMWare, UCLA, and UW.
Accepted invitation to serve on SysML 2020 program committee.
Patent issued (milestone, 25th issued patent): "Autonomous vehicle advanced sensing and response"
Intel's Annual Gordon Moore Award Nomination: "Informed risk-taking across Intel Labs, PSG, SSG, and University Research that has furthered Intel's FPGA innovations"
- Category: Excellence in Risk Taking.
- Team: Aravind Dasu, Mahesh Iyer, Eriko Nurvitadhi, Michael Adler, Justin Gottschlich, Mondira Pant, Todd Younkin
Intel Tech Insights Leadership Award: "Machine Programming: A Radical Approach to Automating Software" (Justin Gottschlich and Tim Mattson)
Led machine programming patent harvesting session resulting in 31 new patent applications with over 40 Intel inventors.
Patent issued: "Extend GPU/CPU coherency to multi-GPU cores"
DATSA has been open sourced.
SysML whitepaper: "SysML: The New Frontier of Machine Learning Systems"
Patent issued: "Detecting root causes of use-after-free memory errors"
Invited talk to Dawn Song's research team at Berkeley: "Anomaly detection, machine programming, and other AI research at Intel"
Co-teaching with Insup Lee and James Weimer: CIS 700-002: Topics in Safe Autonomy, Spring 2019
Invited talk at Intel's NeurIPS special luncheon: "Anomaly Detection: Today and Beyond"
NeurIPS spotlight talk: "Precision and Recall for Time Series"
NeurIPS 3-minute teaser video: "Precision and Recall for Time Series"
Intel Labs Division Recognition Award for creating and leading the Anomaly Detection IP Think Tank.
Invited talk at SPLASH-I: "The Future of AI: Machine Programmers and Their Necessary Self-Awareness"
Invited talk at Intel's Autonomous Driving Community of Practice Workshop: "Autonomous Vehicles and the Anomalous 1%"
MAPL presentation: "The Three Pillars of Machine Programming" (joint with MIT)
Program committee member, SysML 2019.
Invited talk at VMware Research: "Anomaly Detection for Practical Systems (and a Tiny Bit of Machine Programming)"
Special seminar at University of Pennsylvania: "The Future of Anomaly Detection" (slides forthcoming)
PhD co-advisor: Irina Calciu, Brown University - VMWare
PhD committee member: Wenjia Ruan, Lehigh University - Qualcomm
PhD committee member: Mohammad Mejbah ul Alam - Intel Labs